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After completion of the course student will be able to:
1. Understand basic terminology of networking.
2. Evaluate the functions of various layers and their roles.
- Teacher: DR. Urvashi Gupta [ECE]
- Teacher: Dr. Upendra Kumar Acharya [ECE]
- Teacher: MR. ABHISHEK [ECE]
- Teacher: MS DIKSHA SINGH [ECE]
- Teacher: MS NEHA SHUKLA [CO]
- Teacher: Dr. Preeti Garg [CSE]
- Teacher: Mr. Vivek Tomar [CSE]
Syllabus outline for the MBA course Data Mining Techniques – Predictive Modeling & Pattern Discovery using R (MS617E) offered at KIET Group of Institutions, Delhi-NCR.
It covers data mining technologies, data warehousing & preprocessing, predictive modeling, R programming, and data analytics in R over 30 lecture hours. The course aims to build skills in applying data mining techniques, predictive models, and R programming for business problem-solving.
Key outcomes include applying data warehousing, preprocessing, predictive modeling, and evaluating data analytics in real-world contexts. Evaluation is based on MSE, CA (class assessments), and ESE, totaling 150 marks.
- Teacher: Dr. Preeti Garg [CSE]